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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 2-RES-JB
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    Explanations

    words related to criminal activities like burglaries, scams, and thefts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to criminal activity, particularly burglary and associated offenses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    akeru
    -0.75
    tem
    -0.75
    blance
    -0.74
    rians
    -0.74
    SUP
    -0.72
    ð
    -0.70
    heit
    -0.68
    ankind
    -0.67
    enburg
    -0.67
    ó
    -0.66
    POSITIVE LOGITS
     informants
    0.99
     Traff
    0.92
     informant
    0.90
     trafficking
    0.88
     kidnap
    0.88
     traffickers
    0.86
     smuggling
    0.85
     smugg
    0.83
     Anonymous
    0.82
     spree
    0.82
    Activations Density 0.177%

    No Known Activations